Computational Research at the University of Arizona
UA researchers rely on high-performance computer resources to process the vast amounts of data they are examining. Watch this video to learn more about the kinds of questions three UA researchers are answering with their work and how the UA Research Data Center helps them.
The University of Arizona is a Tier 1 research university where faculty and students perform innovative research using national cloud computational resources like the CyVerse collaborative, and on-campus research computing resources. The UA Research Data Center (RDC) provides high-performance computing resources at no charge to faculty, students, and staff conducting research.
For Dr. Bonnie Hurwitz, Asst. Professor of Agricultural and Biosystems Engineering and Chair of the Research Computing Governance Committee, the amazing amount of computational capacity in the RDC’s new Ocelote system makes it possible for her group to collect and analyze enormous data sets of bacteria genomics and better understand the human microbiome.
Dr. Joellen Russell, Associate Professor of Geoscience and past Chair of the Research Computing Governance Committee, relies on the RDC as a major research tool as her group analyzes carbon absorption and heat data for the Earth’s oceans, and generates models for the future of the climate. Particularly, she uses the RDC as a resource for training her graduate students and as a tool to develop pilot projects.
Dr. Michelle Mills Strout, Professor of Computer Science, is helping scientists who develop software that runs simulations or analyzes data. do so more efficiently and generate code that runs faster.
Learn more about resources available in the UA’s Research Data Center by visiting it.arizona.edu/research.